The Advanced Research Projects Agency for Health has awarded contracts to six teams to build the first FDA-authorized agentic AI system for cardiovascular care. ARPA-H announced the selections Sept. 9 under its Agentic AI-EnableD CardioVascular CAre TransfOrmation, or ADVOCATE, program.…
Artificial Intelligence
AI workforce platforms that align staffing to predicted patient demand are spreading across outpatient and procedural settings, and the operational case is strong. In a high-throughput environment, matching nurses and perfusionists to actual volume rather than a static schedule saves…
A recent commentary in the journal NEJM AI made an argument that deserves more attention than it perhaps received: the regulatory line we have drawn around “AI” is the wrong line. The risk in clinical decision-making does not come from…
The American Medical Association has flagged what frontline physicians already feel: AI is being deployed faster on the denial side of healthcare than on the care side. Prior-authorization denials are rising, and increasingly the first “reviewer” of a surgeon’s request…
Health systems should direct AI investment toward implementation science, not new tool development, Sanjiv Shah, MD, director of research at Chicago-based Northwestern Medicine Bluhm Cardiovascular Institute, said on Becker’s “Cardiology + Heart Surgery Podcast.” “We already have an abundance of…
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Researchers at Cleveland Clinic and Pittsburgh-based Carnegie Mellon University have developed an AI system designed to interpret cardiac MRI scans without manually labeled training data. The system was trained on more than 13,000 de-identified patient studies from Cleveland Clinic and…
Columbus-based OhioHealth is piloting an AI-driven alert system to improve detection and treatment timelines for heart valve disease. The tool, evaluated in the ALERT trial, sends real-time notifications to physicians based on echocardiogram results, identifying patients who may need further…
Grand Blanc, Mich.-based McLaren Health Care has launched a cardiovascular screening program in partnership with Bunkerhill Health. The program applies Bunkerhill Health’s AI platform to clinical data from patients’ routine chest CT scans previously performed for other medical reasons, according…
A research team led by the School of Pharmacy and Pharmaceutical Sciences at the University at Buffalo in New York has developed an artificial intelligence model that predicts which cardiac patients are at risk of hospital readmission within 90 days…
Researchers at Rochester, Minn.-based Mayo Clinic have developed an AI model that estimates left ventricular ejection fraction from a single echocardiographic frame. Unlike models that rely on video, the Mayo tool uses deep learning and computer vision to assess cardiac…